{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "% matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "global_terrorism = pd.ExcelFile('./globalterrorismdb_0617dist.xlsx').parse('Data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_terrorism_columns = global_terrorism.columns\n",
    "global_terrorism_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(global_terrorism_columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(global_terrorism)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_terrorism.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'gname' in global_terrorism_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "groups = global_terrorism['gname']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "groups.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "group_classify = pd.ExcelFile('./classify.xlsx').parse('Sheet1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "group_classify.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(group_classify)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "classify_info = list(group_classify.columns)\n",
    "classify_info.pop(0)\n",
    "classify_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "group_classify_info = {}\n",
    "\n",
    "\n",
    "for i in range(len(group_classify)):\n",
    "    group_info = group_classify.iloc[i]\n",
    "    group_name = group_info['gname']\n",
    "    group_classify_info[group_name] = []\n",
    "    for j in classify_info:\n",
    "        if group_classify.iloc[i][j] == 1:\n",
    "            group_classify_info[group_name].append(j)\n",
    "\n",
    "group_classify_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mask = global_terrorism['gname'].isin(group_classify['gname'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "major_group = global_terrorism[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "major_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "sub_group = global_terrorism[~mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "main_group = pd.merge(major_group, group_classify, on='gname')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "main_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "islam = main_group[main_group['Islam'] == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_ideology = [\n",
    "    'Islam', 'Democracy', 'Republican', 'Anti-Communist', 'Communism', \n",
    "    'Marxism-Leninism', 'Maoist', 'Christian', 'Buddhist', 'Separatism', \n",
    "    'Rebels', 'Anarchist', 'Militants/Guerrillas', 'Narcoterrorism', 'Racist', 'Nationalism'\n",
    "]\n",
    "\n",
    "total_ideology_dict = {}\n",
    "\n",
    "for i in total_ideology:\n",
    "    total_ideology_dict[i] = 0\n",
    "\n",
    "total_ideology_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "count = 0\n",
    "\n",
    "for key in total_ideology_dict.keys():\n",
    "    current_group = main_group[main_group[key] == 1]\n",
    "    total_ideology_dict[key] = len(current_group)\n",
    "    count += total_ideology_dict[key]\n",
    "\n",
    "total_ideology_dict['Communist'] = total_ideology_dict['Communism'] + total_ideology_dict['Marxism-Leninism'] + total_ideology_dict['Maoist']\n",
    "print(total_ideology_dict)\n",
    "print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "terrorism_count = pd.Series(total_ideology_dict)\n",
    "del terrorism_count['Communism']\n",
    "del terrorism_count['Marxism-Leninism']\n",
    "del terrorism_count['Maoist']\n",
    "terrorism_count.sort_values(ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "terrorism_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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BlwPbMDQk2PbTG8XfC3gLsHWNrxLeTf4JJS0F/u+I+K1en02AF9B9fV7RKP7XgDsBHwdO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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11babf828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=terrorism_count.index, y=terrorism_count.values)\n",
    "plt.xticks(rotation=90)\n",
    "plt.savefig('1.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**不同意识形态所造成的恐怖袭击事件数量排行 —— 降序柱状图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Islam_ideology = [\n",
    "    'Jihad', 'Salafi', 'Wahhabism', 'Fundamentalism', 'Sunni', 'Shia'    \n",
    "]\n",
    "\n",
    "islam_ideology_data = {}\n",
    "\n",
    "for i in Islam_ideology:\n",
    "    islam_ideology_data[i] = 0\n",
    "\n",
    "islam_ideology_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "count = 0\n",
    "\n",
    "for key in islam_ideology_data.keys():\n",
    "    current_group = main_group[main_group[key] == 1]\n",
    "    islam_ideology_data[key] = len(current_group)\n",
    "    count += islam_ideology_data[key]\n",
    "\n",
    "print(islam_ideology_data)\n",
    "print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "islam_count = pd.Series(islam_ideology_data)\n",
    "islam_count.sort_values(ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Jihad             18061\n",
       "Salafi            15625\n",
       "Fundamentalism    10026\n",
       "Wahhabism          9715\n",
       "Sunni              2359\n",
       "Shia                 29\n",
       "dtype: int64"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "islam_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S/YCjgf2BJwOfS7Jvs/oDwBHAWuCKJOdV1XUj1CZJGsG0w6Gq1gPrm+V7knwd2HMzbzkS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\nktTy/wFY//zE3TdpfwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bbcf978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=islam_count.index, y=islam_count.values)\n",
    "plt.xticks(rotation=90)\n",
    "plt.savefig('2.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**伊斯兰大类中各种意识形态所造成的恐怖袭击事件数量排行 —— 降序柱状图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "total_ideology_year = {}\n",
    "\n",
    "for i in total_ideology:\n",
    "    current = main_group[main_group[i] == 1]\n",
    "    current_year = current['iyear'].value_counts()\n",
    "    current_year.sort_index(inplace=True)\n",
    "    total_ideology_year[i] = current_year\n",
    "\n",
    "total_ideology_year = pd.DataFrame(total_ideology_year)\n",
    "total_ideology_year.fillna(0, inplace=True)\n",
    "total_ideology_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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O0n9PYkwq36y220kHIIQQ9xhzmhG9ix0ASqfw6OsHmkbisuNo5oo7FSQdgBBC3GPMt7LR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\nF8V9++86YdJNsOopWP43OO7Wg9ZvWRbL3tjBircqKR+cx4zrRqA4JWY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0TdKxKNlUCi3T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\ngCJFihQ5SCkqgCJFihQ5SPlfpT7Ymd1v760AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bb24748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_ideology_year.plot()\n",
    "plt.savefig('3.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**不同意识形态所造成的恐怖袭击事件数量随年份的变化图 —— 折线图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YAygTrwEABYCIyKgGrwFonKYAEBHJKi2dAfJ8xozywlRXJSkUACIio2jxBzijsghfjqW6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\nRLLU/weJ8Y8EnTDifAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1373272e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "islam_year = islam['iyear'].value_counts()\n",
    "islam_year.sort_index(inplace=True)\n",
    "\n",
    "plt.plot(islam_year.index, islam_year.values)\n",
    "plt.savefig('4.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**伊斯兰所造成的恐怖袭击事件数量随年份的变化图 —— 折线图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_ideology_month = {}\n",
    "\n",
    "for i in total_ideology:\n",
    "    current = main_group[main_group[i] == 1]\n",
    "    current_month = current['imonth'].value_counts()\n",
    "    current_month.sort_index(inplace=True)\n",
    "    total_ideology_month[i] = current_month\n",
    "\n",
    "total_ideology_month = pd.DataFrame(total_ideology_month)\n",
    "total_ideology_month.fillna(0, inplace=True)\n",
    "total_ideology_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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y0TqdjhUrVjBp0iQWLVrU2K8gYAihkuWsyapvSGSqekCr2wOlm5Tpub5M5TQc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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13747be80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_ideology_month.plot()\n",
    "plt.savefig('5.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**不同意识形态所造成的恐怖袭击事件数量随月份的变化图 —— 折线图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "islam['imonth'].value_counts().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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EWC4Z3pv5q3dTVVsfsDie+7iQpdtK+NWU4fTv3tlv72sJwPhVgbuMuOgoBve0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\n8wPVU4TcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x137375e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "islam_month = islam['imonth'].value_counts()\n",
    "islam_month.sort_index(inplace=True)\n",
    "\n",
    "plt.plot(islam_month.index, islam_month.values)\n",
    "plt.hlines(islam_month.values.mean(), 0, 12, linestyles='dashed')\n",
    "plt.savefig('6.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**伊斯兰所造成的恐怖袭击事件数量随月份的变化图(加上12月平均数线) —— 折线图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Iraq              22130\n",
       "Pakistan          13634\n",
       "Afghanistan       11306\n",
       "India             10978\n",
       "Colombia           8163\n",
       "Philippines        6212\n",
       "Peru               6088\n",
       "El Salvador        5320\n",
       "United Kingdom     5098\n",
       "Turkey             4106\n",
       "Name: country_txt, dtype: int64"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "terrorism_country = global_terrorism['country_txt'].value_counts()\n",
    "# terrorism_country[terrorism_country > terrorism_country.values.mean()]\n",
    "terrorism_country.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**受到恐怖袭击最多的国家降序排列 —— 表格 / 降序柱状图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Middle East & North Africa     46511\n",
       "South Asia                     41497\n",
       "South America                  18762\n",
       "Western Europe                 16307\n",
       "Sub-Saharan Africa             15491\n",
       "Southeast Asia                 11453\n",
       "Central America & Caribbean    10340\n",
       "Eastern Europe                  5031\n",
       "North America                   3346\n",
       "East Asia                        794\n",
       "Central Asia                     554\n",
       "Australasia & Oceania            264\n",
       "Name: region_txt, dtype: int64"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "terrorism_region = global_terrorism['region_txt'].value_counts()\n",
    "terrorism_region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**受到恐怖袭击最多的地区降序排列 —— 表格 / 降序柱状图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Afghanistan    6663\n",
       "Iraq           3911\n",
       "Somalia        2397\n",
       "Pakistan       1836\n",
       "Nigeria        1812\n",
       "Philippines    1418\n",
       "Algeria        1074\n",
       "Syria           833\n",
       "India           763\n",
       "Egypt           542\n",
       "Name: country_txt, dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "islam_country = islam['country_txt'].value_counts()\n",
    "# islam_country[islam_country > islam_country.values.mean()]\n",
    "islam_country.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**受到伊斯兰恐怖袭击最多的国家降序排列 —— 表格 / 降序柱状图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "South Asia                    9412\n",
       "Middle East & North Africa    7897\n",
       "Sub-Saharan Africa            4904\n",
       "Southeast Asia                1854\n",
       "Western Europe                  48\n",
       "Eastern Europe                  45\n",
       "Central Asia                     5\n",
       "North America                    5\n",
       "East Asia                        4\n",
       "Australasia & Oceania            1\n",
       "South America                    1\n",
       "Name: region_txt, dtype: int64"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "islam_region = islam['region_txt'].value_counts()\n",
    "islam_region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**受到伊斯兰恐怖袭击最多的地区降序排列 —— 表格 / 降序柱状图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "middle_eastern_islam = islam[islam['region_txt'] == 'Middle East & North Africa']\n",
    "middle_eastern_islam_year = middle_eastern_islam['iyear'].value_counts()\n",
    "middle_eastern_islam_year.sort_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5jTPGDuR3XzjtiE8A91Z5ORm8+l/nsWr7PpaX7KOotJpnV5bzl6XbARiZ14fb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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bb7e208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(middle_eastern_islam_year.index, middle_eastern_islam_year.values)\n",
    "plt.savefig('7.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**中东地区伊斯兰恐怖袭击数量随年份的变化 —— 折线图**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "europe_islam = islam[(islam['region_txt'] == 'Western Europe') | (islam['region_txt'] == 'Eastern Europe')]\n",
    "europe_islam_year = europe_islam['iyear'].value_counts()\n",
    "europe_islam_year.sort_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Aj8QSnNXebMveJsaiaDkpF2NTUUdYFkWFqImIyS1c7XTIhdaaTz2wk6DPw19d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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a2f00f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(europe_islam_year.index, europe_islam_year.values)\n",
    "plt.savefig('8.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**欧洲的伊斯兰恐怖袭击数量随年份的变化 —— 折线图**"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
